MosChip®

Super Power technology with our

AI ENGINEERING
SOLUTIONS

Propelling intelligent business operations

with our AI Engineering & Machine Learning Solutions

Businesses have begun to contemplate fully autonomous intelligent systems that can interact and come up with the environment around them to stay ahead in the global market. As we begin to manage this present technological transition, industries are looking for trusted and experienced technology partners.

MosChip with its AI engineering and machine learning services assists businesses to design and develop intelligent solutions in the areas of computer vision, cognitive computing, deep learning, and ML lifecycle management. We own the capability to handle a complete Machine Learning (ML) pipeline involving dataset, model development, optimization, testing, and deployment on cloud and edge platforms (CPUs, GPUs, TPUs).

MosChip’s team of AI/ML experts designs high-performing next-gen solutions for businesses allowing them to move away from traditional processes and come closer to more intelligent ones, ensuring data-driven decision-making, automated business operations, and increased productivity.

Key Solutions

MosChip®_Intell'AI'gence_Computer_Vision

Computer Vision

Machine & Computer Vision Algorithms ​ | Object Detection, Identification & Visual Perception | Image Capture & Optimization | Vision Analytics & Processing | Optical Character Recognition

Generative AI

Enhanced Customer Experience Navigation - Conversational assistants​ | Integration of Gen AI within products and business – For Process Optimization​ | Synthetic Data Generation using GenAI

ML Lifecycle Management

MLOps – Automated ML Pipeline Deployment | Model Designing, Optimization, Testing & Porting | Inference Engines & Metrics | ML Transfer Learning Framework | Data Augmentation & Annotation

Cognitive Computing

Deep Learning & Neural Networks | AI/ML on Edge & Cloud | ML Application Acceleration | Cross Platform Porting & Integration | Natural Language Processing (NLP)

AI & FPGA Acceleration Solutions

Object detection & classification | Semantic segmentation | Scene Detection & Text Analytics | Predictive Analytics | Audio Analytics & Key-phrase Detection | Face Recognition & Facial Expression Detection | Posture Detection | ML Reference Designs & POC

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AI/FPGA Acceleration Solutions

Scene Detection & Text Analytics | Predictive Analytics | Audio Analytics & Key-phrase Detection | Face Recognition | ML Reference Designs & POC

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Technical Expertise

Caffe2 | LUIS | Coral Edge TPU Compiler | AutoML | Amazon Rekognition | AWS DeepLens | Tesseract OCR | TensorFlow Lite | Lattice SensAI | Kubernetes | PyTorch | Xilinx VITIS | Keras | Tiny ML | Azure Machine Learning | spaCy

MosChip®_Intell'ai'gence_Tools and Frameworks

VGGNet | ALexNet | InceptionV3 | SSD | SqueezeNet | YOLO | MobileNet v1/v2 | ResNet | Enet | ABINet | VITSViViT | TinyBERT

Partnerships & Memberships

Demos/PoCs

Face Mask Detection system based on computer vision and deep learning approach. It uses a visible stream from the camera combined with AI techniques to detect and can be integrated with the surveillance setup.
Softnautics team collaboratively developed real-time audio phrase detection using Lattice Semiconductor sensAI with a very low memory footprint and high accuracy.
A simulation framework for simulating the behaviors of Wireless Sensor Network (WSN). This demo covers Home Automation applications that work on Zigbee, Bluetooth, 6LoWPAN, and Wi-Fi technologies.
Softnautics developed software for Lattice which identifies vehicles and classifies them as heavy, light, and two-wheel. The inferencing is done using Convolutional Neural Networks implemented in the Embedded Vision Development Kit’s ECP5 FPGA. Power consumption is less than 1W.
The advancements in hand gesture recognition are redefining human-computer interaction and making many wonderful use cases possible. This demo presents a fast, reliable, and robust method for hand gesture recognition that is developed on PC and fully validated on the Qualcomm Snapdragon Platform having ARM DSP core.

Success Stories

Success Story

Real-time Vehicle Classification Using Machine Learning

The Client is US based leading semiconductor company having expertise in high-performance and adaptive computing…

Success Story

Human Counting Solution on FPGA Platform

The Client is US based leading semiconductor company having expertise in high-performance and adaptive computing…

Success Story

Neural Network Compiler for Edge devices

The Client is US based leading semiconductor company having expertise in high-performance and adaptive computing…

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